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Análisis funcional
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Climatic variables influence annual P. montezumae growth
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12501“…BACKGROUND: Hairpin RNA (hpRNA) transgenes can be effective at inducing RNA silencing and have been exploited as a powerful tool for gene function analysis in many organisms. However, in fungi, expression of hairpin RNA transcripts can induce post-transcriptional gene silencing, but in some species can also lead to transcriptional gene silencing, suggesting a more complex interplay of the two pathways at least in some fungi. …”
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12502por Przanowski, Piotr, Dabrowski, Michal, Ellert-Miklaszewska, Aleksandra, Kloss, Michal, Mieczkowski, Jakub, Kaza, Beata, Ronowicz, Anna, Hu, Feng, Piotrowski, Arkadiusz, Kettenmann, Helmut, Komorowski, Jan, Kaminska, Bozena“…Gene set enrichment and gene function analysis revealed categories linked to the inflammatory response in LPS and Stat1C + Stat3C groups. …”
Publicado 2013
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12503Altered oscillatory cerebral blood flow velocity and autoregulation in postural tachycardia syndromepor Medow, Marvin S., Del Pozzi, Andrew T., Messer, Zachary R., Terilli, Courtney, Stewart, Julian M.“…Autospectra for mean CBFv and MAP, and transfer function analysis were obtained over the frequency range of 0.0078–0.4 Hz. …”
Publicado 2014
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12504por Bastos, Elen Pereira, Brentani, Helena, Pasini, Fatima Solange, Silva, Aderbal Ruy T., Torres, Cesar Henrique, Puga, Renato David, Olivieri, Eloisa Helena Ribeiro, Piovezani, Amanda Rusiska, Pereira, Carlos Alberto de Bragança, Machado-Lima, Ariane, Carraro, Dirce Maria, Brentani, Maria Mitzi“…Using real time qPCR and discriminant function analysis, we identified 9 miRs whose expression levels rather than miR identity can discriminate between both patient groups. …”
Publicado 2014
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12505por Billiard, Julia, Dennison, Jennifer B, Briand, Jacques, Annan, Roland S, Chai, Deping, Colón, Mariela, Dodson, Christopher S, Gilbert, Seth A, Greshock, Joel, Jing, Junping, Lu, Hong, McSurdy-Freed, Jeanelle E, Orband-Miller, Lisa A, Mills, Gordon B, Quinn, Chad J, Schneck, Jessica L, Scott, Gilbert F, Shaw, Anthony N, Waitt, Gregory M, Wooster, Richard F, Duffy, Kevin J“…Our inhibitors increased rates of oxygen consumption in hepatocellular carcinoma cells at doses up to 3 microM, while higher concentrations directly inhibited mitochondrial function. Analysis of more than 500 metabolites upon LDHA inhibition in Snu398 cells revealed that intracellular concentrations of glycolysis and citric acid cycle intermediates were increased, consistent with enhanced Krebs cycle activity and blockage of cytosolic glycolysis. …”
Publicado 2013
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12506por Prior, Maria, Ramsay, Craig R, Burr, Jennifer M, Campbell, Susan E, Jenkinson, David J, Asoaka, Ryo, Francis, Jillian J“…Using the seven factor scores as independent variables in a discriminant function analysis, the AGQ scores resulted in correct glaucoma severity grading of 32.5% of participants (p < 0.001). …”
Publicado 2013
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12507por Jackson, Harriet E, Ono, Yosuke, Wang, Xingang, Elworthy, Stone, Cunliffe, Vincent T, Ingham, Philip W“…Here, we use gain and loss of function analysis to analyse further the role of Sox6 in zebrafish muscle fiber type specification. …”
Publicado 2015
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12508por Prescher, Jens, Baumgärtel, Viola, Ivanchenko, Sergey, Torrano, Adriano A., Bräuchle, Christoph, Müller, Barbara, Lamb, Don C.“…All colocalizing ESCRT clusters exhibited closed, circular structures with an average size (full-width at half-maximum) between 45 and 60 nm or a diameter (determined using a Ripley’s L-function analysis) of roughly 60 to 100 nm. The size distributions for colocalizing clusters were narrower than for non-colocalizing clusters, and significantly smaller than the HIV-1 bud. …”
Publicado 2015
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12509“…Recovery groups were then compared for differences on all variables at intake and on individual psychological measures at 6-months. Discriminant function analysis (DFA) identified which descriptive variables were predictive of recovery status. …”
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12510por Vasanthan, Punitha, Govindasamy, Vijayendran, Gnanasegaran, Nareshwaran, Kunasekaran, Wijenthiran, Musa, Sabri, Abu Kasim, Noor Hayaty“…We further proceeded with loss-of-function analysis with these miRNAs and we observed that hsa-miR-516a-3p knockdown induced a significant increase in the expression of WNT5A. …”
Publicado 2015
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12511“…AIMS: To establish a regeneration and Agrobacterium tumefaciens-mediated genetic transformation system in Asakura-sanshoo, which could be used for cultivar improvement and gene function analysis. SETTINGS AND DESIGN: The various combinations of indole-3-butyric acid (IBA), 6-benzylaminopurine (BA) and naphthalene acetic acid (NAA) were explored for the optimal plant regeneration from petiole and stem of Asakura-sanshoo. …”
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12512por Gilani, Syed Zulqarnain, Tan, Diana Weiting, Russell-Smith, Suzanna N, Maybery, Murray T, Mian, Ajmal, Eastwood, Peter R, Shafait, Faisal, Goonewardene, Mithran, Whitehouse, Andrew JO“…Based on the four significantly different facial distances for each sex, discriminant function analysis correctly classified 89.7% of the males and 88.9% of the females into their respective high- and low-trait groups. …”
Publicado 2015
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12513por Muhamadali, Howbeer, Xu, Yun, Ellis, David I., Trivedi, Drupad K., Rattray, Nicholas J. W., Bernaerts, Kristel, Goodacre, Royston“…RESULTS: Whilst growth profiles of all strains demonstrated comparable trends, principal component-discriminant function analysis of Fourier transform infrared (FT-IR) spectral data, showed clear separation of wild type from empty plasmid and mTNFα-producing strains, throughout the time course of incubation. …”
Publicado 2015
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12514“…And combining genomic distance or sequence identity with spatial gene-gene interaction information informs gene-gene function similarity much better than using either one of them alone, suggesting gene-gene interaction information is largely complementary with genomic distance and sequence identity in the context of gene function analysis. We develop and evaluate a new gene function prediction method based on gene-gene interacting networks, which can predict gene function well for a large number of human genes. …”
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12515por Duffy, Frank H., D’Angelo, Eugene, Rotenberg, Alexander, Gonzalez-Heydrich, Joseph“…After artifact management, principal component analysis (PCA) identified EEG spectral and spectral coherence factors described by associated loading patterns. Discriminant function analysis (DFA) determined factors’ discrimination success between subjects in the CON and CHR groups. …”
Publicado 2015
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12516por Mishima, Yuka, Morisaka, Tadamichi, Itoh, Miho, Matsuo, Ikuo, Sakaguchi, Aiko, Miyamoto, Yoshinori“…While visual inspection of the PS1 power spectra uncovered no apparent individual specificity, statistical analyses revealed that both temporal and spectral parameters had inter-individual differences and that there was greater inter-individual than intra-individual variability. Discriminant function analysis based on five temporal and spectral parameters classified PS1 calls into individuals with an overall correct classification rate of 80.5 %, and the most informative parameter was the average Inter-pulse interval, followed by peak frequency. …”
Publicado 2015
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12517por Jeraldo, Patricio, Hernandez, Alvaro, Nielsen, Henrik B., Chen, Xianfeng, White, Bryan A., Goldenfeld, Nigel, Nelson, Heidi, Alhquist, David, Boardman, Lisa, Chia, Nicholas“…This species is most closely related to Eubacterium desmolans and the clostridial cluster IV/Clostridium leptum subgroup species Butyricicoccus pullicaecorum (71–76% average nucleotide identity). Gene function analysis indicates that the species is an obligate anaerobe, forms spores, and produces the anti-inflammatory short-chain fatty acids acetate and butyrate. …”
Publicado 2016
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12518por Sayqal, Ali, Xu, Yun, Trivedi, Drupad K., AlMasoud, Najla, Ellis, David I., Muhamadali, Howbeer, Rattray, Nicholas J. W., Webb, Carole, Goodacre, Royston“…Principal component—discriminant function analysis (PC-DFA) was applied to the FT-IR data while multiblock principal component analysis (MB-PCA) and N-way analysis of variance (N-way ANOVA) were applied to the GC–MS data. …”
Publicado 2016
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12519“…Permutated Discriminant Function Analysis using these Principal Components demonstrated that 28 note-types (emitted by >1 individual) could be correctly classified and significantly discriminated from a random model. …”
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12520por Teo, Wei Wen, Merino, Vanessa F., Cho, Soonweng, Korangath, Preethi, Liang, Xiaohui, Wu, Ren-chin, Neumann, Neil M., Ewald, Andrew J., Sukumar, Saraswati“…In this paper, we investigated cellular and molecular consequences of loss of HOXA5 in breast cancer, and the role played by retinoic acid in HOXA5 function. Analysis of global gene expression data from HOXA5-depleted MCF10A breast epithelial cells, followed by validation, pointed to a role for HOXA5 in maintaining several molecular traits typical of the epithelial lineage such as cell-cell adhesion, tight junctions and markers of differentiation. …”
Publicado 2016
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